The convergence of Artif?icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network's edge generate predictive analytics or anomaly alerts; The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced; How AI applications increase operating efficiency, spawn new products and services, and enhance risk management; How AI and IoT create 'intelligent' devices and how new AI technology enables IoT to reach its full potential; Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers' privacy while effectively utilizing data. Audience
This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.
This book explores the essential role of quantum computing and artificial intelligence in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniques. Through real-world examples, it offers valuable insights on nanomaterials to improve medical solutions. This book is divided into three sections. The first section examines the fundamentals of quantum computing and its practical applications. The second section explores how quantum computing offers a myriad of opportunities to various industries, transitions between classical and quantum networks, and post-quantum cryptography. The third section further explores the exciting potential of quantum machine learning for Industry 4.0, as well as the applications of quantum computing and AI applications in the emerging Industry 5.0 landscape.
Written and edited by a team of experts in the field, this exciting new volume explores the real-world applications and methods for using Internet of Things (IoT) to make homes and buildings smart and sustainable and to continue working toward a "greener" world. Sustainable Smart Homes and Buildings with Internet of Things (IoT) is a book that explores the integration of renewable energy sources and IoT technology in the design and management of smart homes and buildings. The book covers various topics related to the subject, including energy efficiency, real-time monitoring, control and optimization of renewable energy sources, smart grid integration, energy storage systems, and microgrids. The book explains how IoT technology can be used to collect data from various sensors and devices installed in smart homes and buildings to create a real-time monitoring and control system for renewable energy sources, which can help optimize energy usage and reduce waste. It also discusses the challenges and opportunities associated with the integration of renewable energy sources in smart homes and buildings, and how these challenges can be addressed through the use of IoT technology. The book is intended for architects, engineers, building managers, energy professionals, and researchers interested in the design and management of sustainable smart homes and buildings. It provides practical insights, case studies, and examples that illustrate the benefits of using renewable energy sources and IoT technology to create energy-efficient, environmentally friendly, and comfortable living spaces.
This book presents a vital method for companies to connect with potential clients andconsumers in the digital era of Online Social Networks (OSNs), utilizing the strengthof well-known social networks and AI to achieve success through fostering brandsupporters, generating leads, and enhancing customer interactions. There are currently 4.8 billion Online Social Network (OSN) users worldwide. Online Social Networks in Business Frameworks presents marketing through online social networks (OSNs), which is a potent method for companies of all sizes to connect with potential clients and consumers. If visitors are not on OSN sites like Facebook, Twitter, and LinkedIn, they are missing out on the fact that people discover, learn about, follow, and purchase from companies on OSNs. Excellent OSN advertising may help a company achieve amazing success by fostering committed brand supporters and even generating leads and revenue. A type of digital advertising known as social media marketing (SMM) makes use of the strength of well-known social networks to further advertise and establish branding objectives. Nevertheless, it goes beyond simply setting up company accounts and tweeting whenever visitors feel like it. Preserving and improving profiles means posting content that represents the company and draws in the right audience, such as images, videos, articles, and live videos, addressing comments, shares, and likes while keeping an eye on the reputation to create a brand network, and following and interacting with followers, clients, and influencers.
"Emerging Technologies for Healthcare" begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.
Oilseed Crops offers essential insights into sustainable biotechnological advancements that are vital for enhancing oil production and meeting the skyrocketing global demand for food, fuel, and energy. Plants, particularly oilseed crops, have played a crucial role in biotechnology since the early 20th century, providing sustainable resources for food, fodder, and fuel. The book Oilseed Crops delves into using biotechnological methods to enhance both edible and non-edible oils sustainably. It offers an in-depth look at the global oil plant market, growth influencers, adulteration detection, and yield improvement strategies. Highlighting significant advancements in oilseed research-such as plant-microbe interactions, drought-resistance, and molecular biotechnologies-the book focuses on increasing oil yields and discusses the production of biofuels from non-edible oilseeds to meet rising biofuel demands.
Secure your understanding of vital security and forensic strategies by purchasing Securing the Digital Frontier: Threats and Advanced Techniques in Security and Forensics, a definitive guide that empowers you to protect sensitive information and tackle cyber threats with insights from leading experts and real-world case studies. In the field of security and forensics, it's crucial to implement strong security measures to protect sensitive data and effectively respond to cyber incidents. Digital forensics is vital for analyzing cyber threats, where experts use advanced techniques to scrutinize digital artifacts, system logs, and network traffic. This approach helps reconstruct incidents, pinpoint vulnerabilities, and support legal actions, ensuring the confidentiality, integrity, and availability of crucial data in our rapidly evolving digital world. This book provides an in-depth look at security and forensics, pooling knowledge from top experts across various cybersecurity domains. It focuses on real-world applications and case studies, offering valuable insights for protecting information and responding to digital crimes. Designed for cybersecurity professionals, digital forensics investigators, legal teams, and academics, this comprehensive guide is a key resource for anyone looking to deepen their understanding of modern digital forensics and cybersecurity challenges.
The book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology.
Mathematical Modeling for Computer Applications The mathematical sciences are part of nearly all aspects of everyday life. The discipline has underpinned such beneficial modern capabilities as internet searches, medical imaging, computer animation, numerical weather predictions, and all types of digital communications. This outstanding new volume in the series, "Mathematics and Computer Science," examines the current state of mathematical science and explores the changes needed for the discipline to be in a strong position and able to maximize its contributions. Besides covering important practical applications for the areas where mathematics and computer science intersect, the editors of this new volume recommend that training for future generations of mathematical scientists should be re-assessed in light of the increasingly cross-disciplinary nature of the mathematical sciences. In addition, because of the valuable interplay between ideas and people from all parts of the mathematical sciences, this group of curated papers emphasizes that universities and governments need to continue to invest in the full spectrum of the mathematical sciences in order for the whole enterprise to continue to flourish long-term. Emphasis on important developments in applied mathematics and modeling, analysis and its applications, applied algebra and its applications, geometry and its applications, algebraic statistics and its applications as well as algebraic topology and its applications are covered. Whether for the veteran engineer, new hire, or student, this is a must-have volume for any library.
This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book: Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges; Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes; Offers authoritative insights into current AI trends and future developments in healthcare; Features real-world case studies and examples showcasing successful AI integrations in various medical fields. Audience
This book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers.
Discover how Natural Language Processing for Software Engineering can transform your understanding of agile development, equipping you with essential tools and insights to enhance software quality and responsiveness in today's rapidly changing technological landscape. Agile development enhances business responsiveness through continuous software delivery, emphasizing iterative methodologies that produce incremental, usable software. Working software is the main measure of progress, and ongoing customer collaboration is essential. Approaches like Scrum, eXtreme Programming (XP), and Crystal share these principles but differ in focus: Scrum reduces documentation, XP improves software quality and adaptability to changing requirements, and Crystal emphasizes people and interactions while retaining key artifacts. Modifying software systems designed with Object-Oriented Analysis and Design can be costly and time-consuming in rapidly changing environments requiring frequent updates. This book explores how natural language processing can enhance agile methodologies, particularly in requirements engineering. It introduces tools that help developers create, organize, and update documentation throughout the agile project process.
This unique, important, and timely book provides detailed information about the application of nanochitosan to increase agricultural productivity to enhance food security and nutrition. Readers will find in Nanochitosan Applications for Enhanced Crop Production and Food Security detailed state-of-the-art information including: The modes of action through which nanochitosan perform numerous biological activities; State-of-the-art information and recent advancements in the application of nanochitosan, including targeted delivery, genetic manipulation, antimicrobial uses, curing infections in plants, controlled delivery of biologically active constituents, applications in the evaluation of carbon dioxide concentrations and humidity in controlled greenhouse environments, and their use as pressure sensors in agrichemical spraying equipment; Information on applying nanochitosan as a biofertilizer and bioinsecticide when applied on seeds and for foliar spraying of agricultural crops, soil amendment, and protection against pathogens and pests; The application of nanochitosan in the manufacturing of nanosensors in precision farming in the determination of crop growth, condition of soils, penetration of agrochemicals, diseases, and the level of environmental pollution to ensure a high level of safety for plant and soil health. Audience Researchers, scientists, and graduate students in agriculture, crop science, agricultural biotechnology, and agricultural engineering applications of nanochitosan, as well as policymakers, entrepreneurs, and investors in agriculture and food security.
